title: Delayed detection of climate mitigation benefits due to climate inertia and variability.
abstract: Climate change mitigation acts by reducing greenhouse gas emissions, and thus curbing, or even reversing, the increase in their atmospheric concentration. This reduces the associated anthropogenic radiative forcing, and hence the size of the warming. Because of the inertia and internal variability affecting the climate system and the global carbon cycle, it is unlikely that a reduction in warming would be immediately discernible. Here we use 21st century simulations from the latest ensemble of Earth System Model experiments to investigate and quantify when mitigation becomes clearly discernible. We use one of the scenarios as a reference for a strong mitigation strategy, Representative Concentration Pathway (RCP) 2.6 and compare its outcome with either RCP4.5 or RCP8.5, both of which are less severe mitigation pathways. We analyze global mean atmospheric CO2, and changes in annually and seasonally averaged surface temperature at global and regional scales. For global mean surface temperature, the median detection time of mitigation is about 25-30 y after RCP2.6 emissions depart from the higher emission trajectories. This translates into detection of a mitigation signal by 2035 or 2045, depending on whether the comparison is with RCP8.5 or RCP4.5, respectively. The detection of climate benefits of emission mitigation occurs later at regional scales, with a median detection time between 30 and 45 y after emission paths separate. Requiring a 95% confidence level induces a delay of several decades, bringing detection time toward the end of the 21st century.
authors.affiliation: Climate Central and National Center for Atmospheric Research, Boulder, CO 80307.
authors.forename: Claudia
authors.initials: C
authors.lastname: Tebaldi
authors.forename: Pierre
authors.initials: P
authors.lastname: Friedlingstein
mesh_terms: D002245:Carbon Dioxide / Q000378:metabolism*; D002980:Climate; D057231:Climate Change; D017752:Greenhouse Effect; D008962:Models, Theoretical; D012621:Seasons; D013696:Temperature; D013997:Time Factors
chemical_list: D002245:Carbon Dioxide
keywords: climate variability; regional climate change; signal detection